Algorithm performance evaluation is so entrenched in the Machine Learning community that one could call it an addiction. Like most addictions, it is harmful and very difficult to ...
The primary aim of most data mining algorithms is to facilitate the discovery of concise and interpretable information from large amounts of data. However, many of the current for...
This paper presents HyFlex, a software framework for the development of cross-domain search methodologies. The framework features a common software interface for dealing with diff...
Gabriela Ochoa, Matthew R. Hyde, Timothy Curtois, ...
Abstract. The current generation of data mining tools have limited capacity and performance, since these tools tend to be sequential. This paper explores a migration path out of th...
The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (...